In addition, [1]} proposed a face recognition framework called URFace. The proposed framework claimed to be able to recognise wide variety of faces under real-life conditions, including low resolution, occlusion and head pose. The proposed method rely on a new augmentation method, which works by using multiple sub-embeddings in order to make the training process smoother. The proposed framework recorded a state-of-the-art results on challenging datasets. More information can be found in a recent survey of occluded and unoccluded Face Recognition [2]}.
